ArticleInternational journal of obesity (2005)2018
Body size phenotypes comprehensively assess cardiometabolic risk and refine the association between obesity and gut microbiota.
Article in International journal of obesity (2005), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers, 3 of them syntheses that pooled it.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
41 citing papers in PubMed, 3 syntheses or guidelines pooled it, 66 citations in OpenAlex.
- Gut Microbiome Composition in Obese and Non-Obese Persons: A Systematic Review and Meta-Analysis.Nutrients · 2021Pooled it
- Profile of the gut microbiota of adults with obesity: a systematic review.European journal of clinical nutrition · 2020Pooled it
- Gut Microbiota, Probiotics and Psychological States and Behaviors after Bariatric Surgery-A Systematic Review of Their Interrelation.Nutrients · 2020Pooled it
- Trial
- Colonic nutritional and physicochemical parameters drive gut microbiota dysbiosis in obesity: what we learned from the Ob-M-ARCOL model development.Gut microbes · 2026Article
- Associations of Adiposity With Gut Microbiota Composition Among Adults-Results From a Federated Analysis of Individual Participant Data From Eight European Observational Studies.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2026Review
- Distinct gut microbiome profiles characterize obese and non-obese patients with atherosclerosis: a metagenomic analysis.Journal of translational medicine · 2026Article
- Gut Microbiome Signatures in Multiple Sclerosis: A Case-Control Study with Machine Learning and Global Data Integration.Biomedicines · 2025Article
- The Gut Microbiome Obesity Index: A New Analytical Tool in the Metagenomics Workflow for the Evaluation of Gut Dysbiosis in Obese Humans.Nutrients · 2025Article
- Circulating hs-CRP, IL-18, Chemerin, Leptin, and Adiponectin Levels Reflect Cardiometabolic Dysfunction in Adults with Excess Weight.International journal of molecular sciences · 2025Article
- Differential effects of high-fat diet on salivary and gut microbiota.Frontiers in cellular and infection microbiology · 2025Article
- Characterization of the gut microbiota in people with different levels of obesity.Frontiers in microbiology · 2025Article
- Effects of prebiotics from diverse sources on dysbiotic gut microbiota associated to western diet: Insights from the human Mucosal ARtificial COLon (M-ARCOL).Current research in food science · 2025Article
- Rice Kefiran Ameliorates Obesity and Hepatic Steatosis Through the Change in Gut Microbiota.Microorganisms · 2024Article
- Chronological dynamics of the gut microbiome in response to the pasture grazing system in geese.Microbiology spectrum · 2024Article
- Gut microbiome diversity withinmSystems · 2024Article
- Polyphenols Influence the Development of Endometrial Cancer by Modulating the Gut Microbiota.Nutrients · 2024Review
- [Gut Microbiota and Obesity].The Korean journal of helicobacter and upper gastrointestinal research · 2023Review
- Obesity is the main driver of altered gut microbiome functions in the metabolically unhealthy.Gut microbes · 2023Article
- The Vaginal Microbiota of Pregnant Women Varies with Gestational Age, Maternal Age, and Parity.Microbiology spectrum · 2023Article
Corrections and comments
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Authors and funding
5 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveThe gut microbiota associates with obesity and related disorders, but recent meta-analyses have found that this association is, at best, of small effect. We argue that such analyses are flawed by the use of body mass index (BMI) as sole proxy for disease, and explore a classification method that distinguishes the cardiometabolic health status of individuals to look for more comprehensive associations between gut microbes and health.
designWe analyzed a 441 community-dwelling cohort on which we obtained demographic and health information, anthropometry and blood biochemistry data that served to categorize participants according to BMI, cardiometabolic health status and body size phenotypes. In addition, the participants donated fecal samples from which we performed 16S rRNA gene sequencing to analyze the gut microbiota.
resultsWe observed that health-related variables deteriorate with increased BMI, and that there are further discrepancies within a given BMI category when distinguishing cardiometabolically healthy and unhealthy individuals. Regarding the gut microbiota, both obesity and cardiovascular disease associate with reductions in α-diversity; having lean, healthy individuals the most diverse microbiotas. Moreover, the association between the gut microbiota and health stems from particular consortia of microbes; the prevalence of consortia involving pathobionts and Lachnospiraceae are increased in obese and cardiometabolically abnormal subjects, whereas consortia including Akkermansia muciniphila and Methanobrevibacter, Oscillospira and Dialister have higher prevalence in cardiometabolically healthy and normoweight participants.
conclusionsThe incorporation of cardiometabolic data allows a refined identification of dissimilarities in the gut microbiota; within a given BMI category, marker taxa associated with obesity and cardiometabolic disease are exacerbated in individuals with abnormal health status. Our results highlight the importance of the detailed assessment and classification of individuals that should be carried out prior to the evaluation of obesity treatments targeting the gut microbiota.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.